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Olatunji Johnson is a lecturer in the Department of Mathematics at the University of Manchester, specializing in statistics and epidemiology. He completed his PhD in Statistics, focusing on developing geostatistical methods for analyzing spatially aggregated data. His research interests lie at the intersection of statistics, epidemiology, and health informatics, with a particular emphasis on spatial statistics and environmental epidemiology. Johnson is actively involved in addressing global public health problems, including chronic obstructive pulmonary disease (COPD), malaria, neglected tropical diseases, and other public health challenges. He employs Model-based Geostatistical (MBG) methods to provide insights for informed decision-making in low-resource settings. Additionally, he is interested in developing novel models for tropical disease mapping and has contributed to the development of the SDALGCP MBGapp R package. Olatunji is also looking to supervise PhD students interested in topics such as spatio-temporal statistics and machine learning approaches to spatial data analysis.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.